code: def test_adam_step(
      *,
      dtype_n_dcdw_n_mw_n_vw,
      step,
      beta1_n_beta2_n_epsilon,
      test_flags,
      backend_fw,
      fn_name,
      on_device,
  ):
      input_dtypes, [dcdw, mw, vw] = dtype_n_dcdw_n_mw_n_vw
      (
          beta1,
          beta2,
          epsilon,
      ) = beta1_n_beta2_n_epsilon
      helpers.test_function(
          input_dtypes=input_dtypes,
          test_flags=test_flags,
          backend_to_test=backend_fw,
          fn_name=fn_name,
          on_device=on_device,
          rtol_=1e-1,
          atol_=1e-1,
          dcdw=dcdw,
          mw=mw,
          vw=vw,
          step=step,
          beta1=beta1,
          beta2=beta2,
          epsilon=epsilon,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_functional/test_core/test_gradients.py
imports: from hypothesis import strategies
  import pytest
  import numpy
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
label_desc: Use image node_id 2 for calling a global function with example usage: test_adam_step() without return types